Mivecc_with_drl Alternatives

This is a Multi-intersection Vehicular Cooperative Control (MiVeCC) scheme to enable cooperation among vehicles in a 3*3 unsignalized intersections. we proposed a algorithm combined heuristic-rule and two-stage deep reinforcement learning. The heuristic-rule achieves vehicles across the intersections without collisions. Based on the heuristic-rule, DDPG is used to optimize the collaborative control of vehicles and improve the traffic efficiency. Simulation results show that the proposed algorithm can improve travel efficiency at multiple intersections by up to 4.59 times without collision compared with existing methods.
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My solution for udacity path planning project. This makes the car drive > 20 miles without collision without constraint violation
enginBozkurt/MotionPlanner 49 0 0 over 6 years ago 0 3 Python
Motion Planner for Self Driving Cars
visualbuffer/copilot 40 0 0 almost 6 years ago 0 1 mit Jupyter Notebook
Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision
toddwschneider/nyc-motor-vehicle-collisions 32 0 0 almost 4 years ago 0 0 mit HTML
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perseus784/Vehicle_Collision_Prediction_Using_CNN-LSTMs 24 0 0 about 6 years ago 0 0 gpl-3.0 Python
Predict Vehicle collision moments before it happens!. CNN and LSTM hybrid architecture is used to understand a series of images.
sisl/PedestrianAvoidancePOMDP.jl 16 0 0 about 6 years ago 0 4 other Jupyter Notebook
POMDP formulation of a pedestrian avoidance problem for autonomous driving
Mingtzge/MiVeCC_with_DRL 11 0 0 almost 5 years ago 0 0 mit Python
This is a Multi-intersection Vehicular Cooperative Control (MiVeCC) scheme to enable cooperation among vehicles in a 3*3 unsignalized intersections. we proposed a algorithm combined heuristic-rule and two-stage deep reinforcement learning. The heuristic-rule achieves vehicles across the intersections without collisions. Based on the heuristic-rule, DDPG is used to optimize the collaborative control of vehicles and improve the traffic efficiency. Simulation results show that the proposed algorithm can improve travel efficiency at multiple intersections by up to 4.59 times without collision compared with existing methods.
balrifaee/Net-MPC_Collision-Avoidance 10 0 0 about 8 years ago 0 0 gpl-3.0 Matlab
MATLAB Simulation of Networked Model Predictive Control for Vehicle Collision Avoidance
openxc/nightvision 9 0 0 almost 13 years ago 0 0 bsd-3-clause Java
Video-based object detection for forward collision warnings with OpenXC
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